resnet34¶
- paddle.vision.models. resnet34 ( pretrained=False, **kwargs ) [source]
-
ResNet 34-layer model from “Deep Residual Learning for Image Recognition”
- Parameters
-
pretrained (bool, optional) – If True, returns a model pre-trained on ImageNet. Default: False.
Examples
import paddle from paddle.vision.models import resnet34 # build model model = resnet34() # build model and load imagenet pretrained weight # model = resnet34(pretrained=True) x = paddle.rand([1, 3, 224, 224]) out = model(x) print(out.shape) # [1, 1000]